Article
Materials Science, Multidisciplinary
Vineeth Kumar Gattu, William L. Ebert, J. E. Indacochea, Terry A. Cruse, Jeffrey A. Fortner
Summary: The electrochemical corrosion behaviors of two multiphase alloys, made with 316 L stainless steel and different amounts of surrogate metallic fuel wastes, were measured and compared. The corroded surfaces were characterized using scanning electron microscopy (SEM) to investigate the electrochemical responses of specific phases. The study also compared the potentiodynamic (PD) scans of the multiphase alloys, 316 L stainless steel, and pure palladium, to understand the complex corrosion behavior and the effects of alloying elements and noble metals on the corrosion behavior.
NPJ MATERIALS DEGRADATION
(2022)
Article
Computer Science, Interdisciplinary Applications
P. R. L. Alves
Summary: This paper presents an analysis of the underlying dynamics of stock markets in North America, Europe, and Asia using a reconstruction methodology. The impact of the pandemic on different stock markets is evaluated and compared using scatter plots, histograms, and Spearman correlation coefficients.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2022)
Article
Engineering, Multidisciplinary
Hui Hou, Chao Liu, Qing Wang, Bo Zhao, Leiqi Zhang, Xixiu Wu, Changjun Xie
Summary: A rolling load prediction method based on phase space reconstruction of chaos theory and stacking ensemble learning is proposed. The method utilizes phase space reconstruction to process historical load data and avoids the need for certain key information. A stacking ensemble learning model is then built using various algorithms to improve load forecasting accuracy. The effectiveness of the method is verified using the PJM power grid data set, and the ensemble model outperforms single models in terms of forecasting accuracy.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Civil
Zhenru Shu, Mike Jesson, Mark Sterling
Summary: Proper understanding of rainfall variability is crucial for meteorological and hydrological modelling. This study found that there is chaos in UK rainfall data, with varying complexity in rainfall dynamics across different regions. The analysis also revealed marked long-term variability in rainfall dynamics in Western and Northern Scotland.
JOURNAL OF HYDROLOGY
(2021)
Article
Materials Science, Multidisciplinary
Khashayar Morshed-Behbahani, Pooria Najafisayar, Nika Zakerin, Mahmoud Pakshir
Summary: The study revealed that the sensitivity of AISI 410 stainless steel to intergranular corrosion (IGC) was affected by sensitization heat treatment, with longer tempering time leading to more severe localized attack but also a healing effect. Additionally, electrochemical noise and potentiodynamic electrochemical impedance spectroscopy are useful techniques for investigating the corrosion susceptibility of the alloy.
MATERIALS RESEARCH EXPRESS
(2021)
Article
Mathematics, Applied
Luana Santana, Rafael M. da Silva, Holokx A. Albuquerque, Cesar Manchein
Summary: By conducting extensive numerical experiments on two electrically interacting FitzHugh-Nagumo (FHN) neurons, we investigated the presence of chaotic and regular dynamics, transient chaos phenomenon, and multistability in parameter space. Our findings include the existence of self-organized stable periodic structures, transient chaos phenomenon causing long chaotic temporal evolution, and various multistable domains with an arbitrary number of attractors. Additionally, we demonstrated that chaos, transient chaos, and multistability persist even with different coupling strengths between identical FHN neurons.
Article
Materials Science, Multidisciplinary
Cynthia Martinez-Ramos, Javier Olguin-Coca, Luis Daimir Lopez-Leon, Citlalli Gaona-Tiburcio, Maria Lara-Banda, Erick Maldonado-Bandala, Ivan Castaneda-Robles, Jesus Jaquez-Munoz, Jose Cabral-Miramontes, Demetrio Nieves-Mendoza, Facundo Almeraya-Calderon
Summary: This study characterizes the electrochemical behaviors of anodized aluminum alloys and evaluates their corrosion resistance in different environments. The results indicate that the alloys exhibit mixed corrosion and localized corrosion in specific zones.
Article
Materials Science, Multidisciplinary
Xuebing Liu, Xinfang Zhang
Summary: The research found that at 475 degrees Celsius, the ferrite phase undergoes severe spinodal decomposition and precipitation, resulting in increased hardness and decreased ductility of duplex stainless steel. Treatment with high-temperature annealing and pulsed electric field can significantly restore hardness and ductility.
MATERIALS CHARACTERIZATION
(2022)
Article
Chemistry, Analytical
Amirhassan Amiri, Mehdi Baghayeri, Mina-Sadat Koshki
Summary: In this study, a PANI-coated stainless steel mesh was synthesized and applied for the extraction of PAHs in real water samples with satisfactory relative recovery. The method showed a wide linear range, low detection limits, and good repeatability.
MICROCHEMICAL JOURNAL
(2022)
Article
Chemistry, Analytical
Zhen Zhang, Xinlong Yuan, Zhanyong Zhao, Xiaofeng Li, Bin Liu, Peikang Bai
Summary: The study compared the pitting corrosion behavior of SLM 316L SS and wrought 316L SS, finding that the SLM samples had higher pitting potentials. Different types of pits initiated by non-metallic inclusions, gas pores, and lack-of-fusion pores were identified using the electrochemical noise technique. Analysis showed that the higher pitting resistance of SLM 316L was due to its poorer ability of pit growth, and the potential application of using EN technique to evaluate LOF pores in SLM parts was discussed.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2021)
Article
Materials Science, Multidisciplinary
Jiajun Lu, Weidong Liu, Yonghua Zhao
Summary: This study investigates the influence of the processing method of bulk material on the surface microstructure of the resultant workpiece in electrochemical jet texturing (EJT). The experimental results reveal evident anisotropic behavior of the texture and demonstrate the considerable influence of the rolling process on EJT.
MATERIALS & DESIGN
(2022)
Article
Materials Science, Multidisciplinary
Ghazal Sadat Sajadi, Seyed Mohammad Ali Hosseini, Vahid Saheb, Mehdi Shahidi-Zandi
Summary: In this study, the corrosion behavior of 304 Austenitic stainless steel (ASS) with different oxide layers developed at two temperatures was investigated using an asymmetric cells system. Valuable data was obtained from the asymmetric electrodes by analyzing the electrochemical current noise (ECN) signals through methods such as SDPS plot, recurrence plot (RP), and wavelet transform (WT) combined with electrochemical impedance spectroscopy (EIS). The results showed that the asymmetric electrodes exhibited a higher advantage in detecting intergranular corrosion (IGC) compared to the symmetric ones. The thickness of the passive oxide layer decreased with immersion time for the sample heated at 0-700 degrees C, while it increased for the sample heated at 1100-700 degrees C according to EIS measurements.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Materials Science, Multidisciplinary
Hojun Gwon, Junyoung Chae, Chanwoo Jeong, Hyukjae Lee, Dong Hwi Kim, Sam Yaw Anaman, Dameul Jeong, Hoon-Hwe Cho, Young-Kyun Kwon, Sung-Joon Kim, Heung Nam Han
Summary: We discovered remarkable martensitic transformation in 16Cr-5Ni metastable austenitic stainless steel during electrochemical polishing (EP). The fraction of alpha' martensite was observed to increase as the applied voltage and EP time increased. This transformation was found to be confined to the surface where EP took place. Through calculations using COMSOL Multiphysics, it was concluded that the development of significant stress on the surface due to charge build-up induced stress-induced martensitic transformation during EP.
Article
Engineering, Civil
Yiyang Zhao, Tingju Zhu, Zhaoqiang Zhou, Hejiang Cai, Zhaodan Cao
Summary: Current approaches for calculating propagation time and rate of drought from meteorological to hydrological mainly rely on linear statistical methods, which may lead to inaccuracies. In this study, a nonlinear and systematic perspective on drought propagation using Nonlinear Dynamic System (NDS) in phase domain is adopted. NDS can generate chaos and provide nonlinear information to detect the propagation from meteorological to hydrological droughts. The results in Pearl River Basin and Wei River Basin demonstrate the effectiveness and applicability of the proposed method.
JOURNAL OF HYDROLOGY
(2023)
Article
Electrochemistry
S. Tong, H. L. Che, K. S. Wang, M. K. Lei
Summary: The thickening of the passive film on a high nitrogen γ(N) phase layer in borate buffer solutions was characterized in-situ by transient corrosion current and potential. The role of nitrogen in passivation transition and dissolution in the solutions was elucidated through real-time photocurrent and corrosion current analyses. The two-step nitrogen hydrolysis from the γ(N) phase layer was discovered as an effect mechanism in the borate buffer solutions.
ELECTROCHIMICA ACTA
(2021)
Article
Chemistry, Analytical
Jingjing Liu, Mingxu Zuo, Sze Shin Low, Ning Xu, Zhiqing Chen, Chuang Lv, Ying Cui, Yan Shi, Hong Men
Article
Engineering, Electrical & Electronic
Wenbo Zheng, Hong Men, Yan Shi, Yuxiang Ying, Jingjing Liu, Qingjun Liu
Summary: This study proposes a computational model based on nerve conduction mechanisms to identify taste substances. The model describes the dynamic characteristics of taste pathways and exhibits bionic performance. Experimental results demonstrate that the computational model achieved better classification results compared to other methods, indicating its effectiveness in taste substance identification.
IEEE SENSORS JOURNAL
(2022)
Review
Chemistry, Analytical
Sze Shin Low, Daizong Ji, Wai Siong Chai, Jingjing Liu, Kuan Shiong Khoo, Sadegh Salmanpour, Fatemeh Karimi, Balakrishnan Deepanraj, Pau Loke Show
Summary: miRNAs, as important non-coding RNAs in the human body, play crucial regulatory roles and are closely related to diseases. The use of electrochemical biosensors provides a fast and accurate detection method for miRNAs, offering new avenues for biological analysis and early disease diagnosis.
Article
Engineering, Electrical & Electronic
Wenbo Zheng, Hong Men, Yan Shi, Yuxiang Ying, Jingjing Liu, Qingjun Liu
Summary: This study proposed an olfactory-taste synesthesia model based on human olfactory-taste nerve pathways for the identification of flavor substances. The results showed that the synesthesia model exhibited the best performance in identifying beer and apple samples compared to other systems.
IEEE SENSORS JOURNAL
(2022)
Review
Chemistry, Analytical
Jingjing Liu, Yifei Xu, Shikun Liu, Shixin Yu, Zhirun Yu, Sze Shin Low
Summary: The voltammetric electrochemical sensing method combined with biosensors and multi-sensor systems can analyze the concentration of the main analyte and the overall characteristics of complex samples quickly, accurately, and reliably. Chemometric methods are important tools for extracting valuable information from voltammetric data. The incorporation of machine learning and deep learning has provided new opportunities to enhance the detection performance of biosensors in complex samples.
Article
Engineering, Electrical & Electronic
Jingjing Liu, Shikun Liu, Xingwang Lian, Xintong Li, Sze Shin Low, Zidai Zhao, Mi Liu, Zetao Chen, Yanli Lu, Ning Xu, Qi Meng, Hong Men, Qingjun Liu
Summary: The taste of food influences consumer preferences, and the detection and analysis of food with complex ingredients are commonly done through artificial sensory evaluation. To address the subjectivity of this method, a taste analog perception system has been developed to detect, analyze, and evaluate food with complex ingredients. The system consists of a data acquisition part and a data processing part, which together provide a close simulation of human perception.
IEEE SENSORS JOURNAL
(2022)
Review
Food Science & Technology
Jingjing Liu, Shixin Yu, Yifei Xu, Jiangyong Li, Boyu Liu, Shikun Liu, Haohao Ning, Dongfu Xu, Sze Shin Low
Summary: Oral processing is a combination of various actions, and the detailed description of which has always been the subject of relevant research. More knowledge of oral processing has been accumulated through the use of imaging technology and sensory evaluation. Advances in sensory technology have added quantitative parameters to the qualitative description of oral processing, enriching the specifics of each action.
JOURNAL OF TEXTURE STUDIES
(2023)
Article
Computer Science, Artificial Intelligence
HaiRui Fang, Jin Deng, DongSheng Chen, WenJuan Jiang, SiYu Shao, MingCong Tang, JingJing Liu
Summary: This paper proposes a convolutional unit modified by transformer, which integrates transformer and CNN into a whole, and based on this unit, a series of novel lightweight diagnosis frameworks named SANet are proposed. It is demonstrated that SANet can complete the high-accuracy diagnosis task with less than three thousand parameters and has strong robustness to noise, as well as satisfactory results with few training samples.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Jingjing Liu, Yifei Xu, Mi Liu, Sze Shin Low, Hang Zhan, Shikun Liu, Haohao Ning, Dongfu Xu, Hairui Fang, Qingjun Liu
Summary: Rapid and accurate detection of water quality is essential, and a portable multichannel electrochemical device combined with a sensor array composed of gold nanoparticles, silver nanodendritic structures, and reduced graphene oxide-modified screen printed electrodes was developed. The sensor array shows good complementarity and cross-sensitivity in voltammetric measurements, and a multiple fully connected shared convolution model was used for data processing and accurate determination of the target analytes.
IEEE SENSORS JOURNAL
(2023)
Article
Chemistry, Analytical
Yifei Xu, Haohao Ning, Shixin Yu, Shikun Liu, Yan Zhang, Chunyan Niu, Yongzhuo Zhang, Sze Shin Low, Jingjing Liu
Summary: Rapid testing of key water indicators in the field is crucial for fully evaluating the quality of the regional water environment. However, existing high-resolution measuring devices for low-concentration analytes in water samples are often bulky, complex to operate, and lack data-sharing capabilities. This study introduces a portable multi-channel electrochemical device called PMCED, which overcomes these limitations and provides a user-friendly interface for easy parameter setting. The PMCED achieves high-resolution measurement at low current levels and utilizes NB-IoT for data uploading to the cloud, enabling remote access to on-site testing results.
Article
Food Science & Technology
Jingjing Liu, Shixin Yu, Xiaoyan Zhao, Xiaojun Sun, Qi Meng, Shikun Liu, Yifei Xu, Chuang Lv, Jiangyong Li
Summary: To reproduce the tactile perception of multiple contacts on the human tongue surface, a deconvolution neural network (DNN) is used to improve the resolution of tongue surface tactile imaging. The model works without high-resolution tactile imaging data by acquiring low-resolution images through a compression test and expanding the data using finite element analysis. The DNN is trained using both low-resolution and high-resolution tactile imaging matrices and outputs high-resolution tactile imaging information closer to the tactile perception of the tongue surface, achieving an accuracy above 88%.
JOURNAL OF TEXTURE STUDIES
(2023)
Article
Chemistry, Analytical
Shixin Yu, Hang Zhan, Xingwang Lian, Sze Shin Low, Yifei Xu, Jiangyong Li, Yan Zhang, Xiaojun Sun, Jingjing Liu
Summary: A portable sEMG signal acquisition device and a mobile application were developed for lower-limb rehabilitation. By training a CNN, high-precision recognition of lower-limb actions can be achieved, providing reliable information for clinical evaluation.
Article
Computer Science, Artificial Intelligence
Xiuxin Xia, Yan Shi, Pengwei Li, Xiaosong Liu, Jingjing Liu, Hong Men
Summary: Currently, the evaluation of food sensory largely relies on artificial sensory evaluation and machine perception. However, the former is influenced by subjective factors and the latter fails to capture human feelings. This article proposes a Frequency Band Attention Network (FBANet) for distinguishing differences in food odor using olfactory electroencephalogram (EEG). The FBANet effectively mines the olfactory EEG data information and accurately distinguishes between eight food odors, presenting a new approach for food sensory evaluation.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yan Shi, Hangcheng Yuan, Qinglun Zhang, Ao Sun, Jingjing Liu, Hong Men
Summary: A lightweight interleaved residual dense network (LIRD) coupled with an electronic nose (e-nose) was proposed to classify the volatile gas of industrial PP used in automotive interior parts. The method achieved a better classification result compared to other deep learning methods, demonstrating its effectiveness in quality monitoring in the industrial production process of automotive interior parts.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Computer Science, Information Systems
Hong Men, Chongbo Yin, Yan Shi, Xiaotong Liu, Hairui Fang, Xiaoju Han, Jingjing Liu
